What inequality is represented by this graph?

As part of a science experiment, Sam recorded the four values shown in the table, but one of them got smudged on his paper. He r

Readme [11.4K]

Answer:

C

Step-by-step explanation:

ok so sam started with 0 and got -9 then he got 12 then the next known number is -8 so those three numbers together are -5 and the end result was -1 so -1 minus -5 is -4 therefore the anser is C

3 0

3 years ago

Use inspection! State whether the following system has one solution, no solution, or infinitely many solutions. *** You may need

ale4655 [162]

Answer:

hi

Step-by-step explanation:

hi

5 0

3 years ago

Read 2 more answers

PLZ HELP ME THIS IS MY LAST QUESTION A recipe for oatmeal raisin cookies is shown.

Setler79 [48]

Answer:

3/4 cup quick cooking oats

Step-by-step explanation:

1. 1 1/2 dozen or 18 cookies divided by 2 = 9 cookies

2. there is 1 1/2 cup of quick oats

3. since to get 9 cookies you need to divide 1 1/2 dozen cookies by 2

you need to do that (divide by 2) to the whole recipe.

4. so basically what is 1 1/2 cup quick oats divided by 2

5. the answer is 3/4 cup quick cooking oats

3 0

3 years ago

mariarad [96]

Answer:

$p_v =P(z>2.087) =0.0184$

So with the p value obtained and using the significance level given $\alpha=0.01$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 1% of significance the mean for the control group it's not significantly higher than the mean of the treatment group by 1 point.

Step-by-step explanation:

When we have two independent samples from two normal distributions with equal variances we are assuming that

$\sigma^2_1 =\sigma^2_2 =\sigma^2$

$\sigma=2.5$

And the statistic is given by this formula:

$z=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{\sigma\sqrt{\frac{1}{n_1}}+\frac{1}{n_2}}$

Where z follows a normal standard distribution

The system of hypothesis on this case are:

Null hypothesis: $\mu_c \leq \mu_t+1$

Alternative hypothesis: $\mu_c >\mu_t+1$

Or equivalently:

Null hypothesis: $\mu_c - \mu_t \leq 1$

Alternative hypothesis: $\mu_c-\mu_t>1$

Our notation on this case :

$n_c =45$ represent the sample size for group control

$n_t =45$ represent the sample size for group treatment

$\bar X_c =5.2$ represent the sample mean for the group control

$\bar X_t =3.1$ represent the sample mean for the group treatment

And now we can calculate the statistic:

$z=\frac{(5.2-3.1)-(1)}{2.5\sqrt{\frac{1}{45}}+\frac{1}{45}}=2.087$

And now we can calculate the p value using the alternative hypothesis:

$p_v =P(z>2.087) =0.0184$

So with the p value obtained and using the significance level given $\alpha=0.01$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 1% of significance the mean for the control group it's not significantly higher than the mean of the treatment group by 1 point.

5 0

3 years ago

A submarine is at the depth of -300 meters. It is rising 50 meters every hour. What is the depth of the submarine after 4 hours?

Alona [7]

The answer is -100. This is because 50 x 4 = 200 and -300+200=-100

4 0

3 years ago